Understanding near-miss count data on construction sites using Greedy D-vine Copula Marginal Regression: A comment

Author:

Love Peter E.D.,Tenekedjiev Kiril

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference14 articles.

1. Preventing industrial accidents: reappraising H.W. Heinrich – more than triangles and dominoes;Busch,2021

2. Poisson model of construction incident occurrence;Chua;ASCE J Constr Eng Manag,2005

3. The field guide to understanding human error;Dekker,2006

4. How near-misses influence decision making under risk: a missing opportunity for learning;Dillion;Manag Sci,2008

5. Resilience vs. vulnerability: psychological safety and reporting of near misses with varying proximity to harm in radiation oncology;Jung;Joint Comm J Qual Patient Saf.,2021

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